Spatial Analysis of News Sources

Mehler, Andrew; Bao, Yunfan; Li, Xin; Wang, Y.; Skiena, Steven

doi:10.1109/tvcg.2006.179

Cited by 48 publications

(29 citation statements)

References 6 publications

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“…By associating each news source with its point of origin and modeling its sphere of influence, we can identify spatial trends in reference and sentiment using the methods of [18]. Figure 5 demonstrates the uncanny agreement between our modeling of the frequency of Hispanic names (as identified using our classifier) in newspapers and U.S. Census data on the distribution of Hispanics within the United States.…”

Section: Applications To News Streamsmentioning

confidence: 85%

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Name-ethnicity classification from open sources

Ambekar

Ward

Mohammed

et al. 2009

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

214

185

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The problem of ethnicity identification from names has a variety of important applications, including biomedical research, demographic studies, and marketing. Here we report on the development of an ethnicity classifier where all training data is extracted from public, non-confidential (and hence somewhat unreliable) sources. Our classifier uses hidden Markov models (HMMs) and decision trees to classify names into 13 cultural/ethnic groups with individual group accuracy comparable accuracy to earlier binary (e.g., Spanish/non-Spanish) classifiers. We have applied this classifier to over 20 million names from a large-scale news corpus, identifying interesting temporal and spatial trends on the representation of particular cultural/ethnic groups.

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Section: Applications To News Streamsmentioning

confidence: 85%

“…Lydia [2,3,9,14,13,15,18] Table 4: Precision, Recall, and F-Score of the two best classifiers, and % change in F-Score for various experiments with the hierarchical classifier Ward, et.al. [23] have used our classifier in the course of a significant study on differences in news coverage between cultural groups.…”

Section: Applications To News Streamsmentioning

confidence: 99%

Name-ethnicity classification from open sources

Ambekar

Ward

Mohammed

et al. 2009

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

214

185

View full text Add to dashboard Cite

show abstract

“…In-spire [50] has been developed for visualizing and exploring large-scale text document collections, where statistics of news reports [31] is put on a world map to inform the audiences of the "hotness" of regions and the relations among the regions. TimeMine [45] is proposed to detect the most important reports and organize them through timeline with statistical models of word usage.…”

Section: Bridging Interest Gapmentioning

confidence: 99%

Integrating multi-modal content analysis and hyperbolic visualization for large-scale news video retrieval and exploration

Luo

Fan

Satoh

et al. 2008

Signal Processing: Image Communication

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In this paper, we have developed a novel scheme to achieve more effective analysis, retrieval and exploration of large-scale news video collections by performing multi-modal video content analysis and synchronization. First, automatic keyword extraction is performed on news closed captions and audio channels to detect the most interesting news topics (i.e., keywords for news topic interpretation), and the associations among these news topics (i.e., contextual relationships among the news topics) are further determined according to their co-occurrence probabilities. Second, visual semantic items, such as human faces, text captions, video concepts, are extracted automatically by using our semantic video analysis techniques. The news topics are automatically synchronized with the most relevant visual semantic items. In addition, an interestingness weight is assigned for each news topic to characterize its importance. Finally, a novel hyperbolic visualization scheme is incorporated to visualize large-scale news topics according to their associations and interestingness. With a better global overview of large-scale news video collections, users can specify their queries more precisely and explore large-scale news video collections interactively. Our experiments on large-scale news video collections have provided very positive results.

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“…This problem emerged in the context of our Lydia news and blog analysis system [Bautin and Skiena 2007;Godbole et al 2007;Kil et al 2005;Lloyd et al 2005;Mehler et al 2006], which interprets feeds from over one thousand newspapers on a daily basis.…”

Section: Introductionmentioning

confidence: 99%

Expanding network communities from representative examples

Mehler

Skiena

2009

ACM Trans. Knowl. Discov. Data

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We present an approach to leverage a small subset of a coherent community within a social network into a much larger, more representative sample. Our problem becomes identifying a small conductance subgraph containing many (but not necessarily all) members of the given seed set. Starting with an initial seed set representing a sample of a community, we seek to discover as much of the full community as possible.We present a general method for network community expansion, demonstrating that our methods work well in expanding communities in real world networks starting from small given seed groups (20 to 400 members). Our approach is marked by incremental expansion from the seeds with retrospective analysis to determine the ultimate boundaries of our community. We demonstrate how to increase the robustness of the general approach through bootstrapping multiple random partitions of the input set into seed and evaluation groups.We go beyond statistical comparisons against gold standards to careful subjective evaluations of our expanded communities. This process explains the causes of most disagreement between our expanded communities and our gold-standards-arguing that our expansion methods provide more reliable communities than can be extracted from reference sources/gazetteers such as Wikipedia.

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Spatial Analysis of News Sources

Cited by 48 publications

References 6 publications

Name-ethnicity classification from open sources

Name-ethnicity classification from open sources

Integrating multi-modal content analysis and hyperbolic visualization for large-scale news video retrieval and exploration

Expanding network communities from representative examples

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